Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

75 results for “MSE”

Set a search alert
Research ArticleOpen accessIn the abstractESTIMATED AND ANALYSIS OF THE RELATIONSHIP BETWEEN THE ENDOGENOUS AND EXOGENOUS VARIABLES USING FUZZY SEMI-PARAMETRIC SAMPLE SELECTION MODELL. MuhamadSafiih, A. A. Kamil, M. T. Abu OsmanAn important progress within the last decade in the development of the selectivity model approach to overcome the inconsistent results if the distributional assumptions of the errors terms are made this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. A new framework … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 15 Jul 2014 · 6,786 accessesView PDFCite
Research ArticleOpen accessIn the abstractREMOVAL OF HIGH DENSITY IMPULSE NOISE USING MORPHOLOGICAL BASED ADAPTIVE UNSYMMETRICAL TRIMMED MID-POINT FILTERS. Saravanakumar, A. Ebenezer Jeyakumar, K. N. VijeyakumarA Morphological based Adaptive Unsymmetrical Trimmed Mid-Point Filter (MAUTMPF) for the restoration of gray scale images corrupted by salt and pepper noise for varying noise densities is proposed in this study. Images corrupted by impulsive noise severely hinder subsequent image processing tasks, such as edge detection, image segmentation, object recognition, etc. Therefore, it is absolutely essential to restore the original … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractMISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSIONJumlong Vongprasert, Bhusana PremanodeMissing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSMRI) for missing data estimation and secondly to compare its efficiency of estimation and statistical power of a … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 3 May 2014 · 6,704 accessesView PDFCite
Research ArticleOpen accessIn the abstractNOVEL IMAGE-DEPENDENT QUALITY ASSESSMENT MEASURESZahir M. Hussain, Asaad Noori HashimThe image is a 2D signal whose pixels are highly correlated in a 2D manner. Hence, using pixel by pixel error what we called previously Mean-Square Error, (MSE) is not an efficient way to compare two similar images (e.g., an original image and a compressed version of it). Due to this correlation, image comparison needs a correlative quality measure. It … …Journal of Computer Science, Vol. 10, Issue 8 · 27 Feb 2014 · 7,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Channel Estimation Technique for Complexity Reduction of Least Minimum Mean Square ErrorHany Mohamed El-Ansary, Hussein Ghouz, Ashraf Mamdouh Aziz, Gamal MabroukChannel estimation technique is to predict the frequency response of the radio channel using pilot signal. Channel estimation technique is important part of LTE receiver design. Such technique is used to recover the transmitted signal correctly and to know how the channel conditions are changed over frequency and time. Each channel estimator has a specified complexity computed according to its … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,999 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Network Dependent Exclusive Mutual Interpolation for Missing Value ImputationR. S. Somasundaram, R. NedunchezhianThe success of data mining relies on the purity of the data set. Before performing the data mining, the data has to be cleaned. An unprocessed data set may contain noisy or missing values which is a critical research issue in the pre-processing stage. Imputation methods are being used to solve the missing value problems. In this proposed work, a … …Journal of Computer Science, Vol. 9, Issue 3 · 24 Apr 2013 · 7,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Rotor Capacitive Reactance Control for Energy Efficient Wound Rotor Induction MotorK. Ranjith Kumar, S. Palaniswami, K. Siva KumarProblem statement: The Rotor reactance control by inclusion of external capacitance in the rotor circuit has been in recent research for improving the performances of Wound Rotor Induction Motor (WRIM). The rotor capacitive reactance is adjusted such that for any desired load torque the efficiency of the WRIM is maximized. The rotor external capacitance can be controlled using a dynamic … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 7,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Channel Estimation for Multiuser Underwater Communication SystemsS. Aliesawi, C. C. Tsimenidis, B. S. Sharif, M. JohnstonProblem statement: Multiple Access Interference (MAI) signals and poor estimation of the unknown channel parameters in the presence of limited training sequences are two of the major problems that degrade the systems’ performance. Two synchronous multiuser receivers with Rake reception of Interleave Division Multiple Access (IDMA) and Code Division Multiple Access (CDMA) systems, in conjunction with channel estimation, are considered … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 7,355 accessesView PDFCite
Research ArticleOpen accessIn the abstractWarped Optical-Flow Inter-Frame Reconstruction for Ultrasound Image EnhancementBalza Achmad, Mohd Marzuki Mustafa, Aini HussainProblem statement: Optical flow inter-frame enhancement is one of the techniques to improve the quality of ultrasound images by reducing the speckle noise. The performance depends on accuracy of the optical flow inter-frame reconstruction which is a part of the technique. The speckle noise of an ultrasound image forms certain pattern, of which size of the speckle varies depends on … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,268 accessesView PDFCite